Artificial intelligence in retinal image analysis for hypertensive retinopathy diagnosis: a comprehensive review and perspective. [PDF]
Kankrale R, Kokare M.
europepmc +1 more source
Material Strategies for Stimulation and Recording in Neural Biocomputing Platforms
Material strategies enabling stimulation and recording are central to neural biocomputing systems. This review examines how electronic materials govern the encoding of inputs and decoding of outputs in living neural networks. Advances in electrical, optical, and multimodal interfaces highlight emerging design principles for biocomputing platforms ...
Sehong Kang +5 more
wiley +1 more source
Revolutionizing diabetic eye disease detection: retinal image analysis with cutting-edge deep learning techniques. [PDF]
D B +3 more
europepmc +1 more source
Comprehensive Retinal Image Analysis for Aggressive Posterior Retinopathy of Prematurity. [PDF]
Rajashekar D, Srinivasa G, Vinekar A.
europepmc +1 more source
Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wetâlab validation ...
Naafey Aamer +3 more
wiley +1 more source
Automatic retinal image analysis methods using colour fundus images for screening glaucomatous optic neuropathy. [PDF]
Shi C +5 more
europepmc +1 more source
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
wiley +1 more source
Rate and Predictors of Misclassification of Active Diabetic Macular Edema as Detected by an Automated Retinal Image Analysis System. [PDF]
La Franca L +5 more
europepmc +1 more source
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker +2 more
wiley +1 more source
Deep Learning and Machine Learning Algorithms for Retinal Image Analysis in Neurodegenerative Disease: Systematic Review of Datasets and Models. [PDF]
Bahr T, Vu TA, Tuttle JJ, Iezzi R.
europepmc +1 more source

